| 1. |
- Ahlström, Gerd, et al.
(författare)
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Collaboration and guidelines for the coordination of health care for frail older persons with intellectual disability : A national survey of nurses working in municipal care
- 2021
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Ingår i: Nursing Open. - : Wiley. - 2054-1058. ; 8:3, s. 1369-1379
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Tidskriftsartikel (refereegranskat)abstract
- Aims: To describe and compare perceptions of collaboration between care providers on the part of three groups of Registered Nurses working in municipal care and having particular responsibility concerning the care of frail older people with intellectual disability (ID); and, furthermore, to investigate the presence of and compliance with guidelines for the coordination of care. Design: National survey study with cross-sectional design. Methods: Nurses (N = 110) with key positions concerning people with ID answered a national questionnaire about collaboration, guidelines and coordinated individual plans. Descriptive and comparative statistical analyses were applied. Results: The meetings on cooperation and coordination of interventions were attended most frequently by nurses, and least frequently by social workers. The nurses were overall satisfied with the collaboration but perceived shortcomings in the case of inpatient and outpatient psychiatric care. Only in about half of the meetings for making care plans participated the people with intellectual disability and next of kin.
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| 2. |
- Akin, Erdal, et al.
(författare)
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Segment Anything Model (SAM) Meets Object Detected Box Prompts
- 2024
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Ingår i: 2024 IEEE International Conference on Industrial Technology (ICIT). - : Institute of Electrical and Electronics Engineers (IEEE). - 9798350340266 - 9798350340273
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Konferensbidrag (refereegranskat)abstract
- Segmenting images is an intricate and exceptionally demanding field within computer vision. Instance Segmentation is one of the subfields of image segmentation that segments objects on a given image or video. It categorizes the class labels according to individual instances, ensuring that distinct instance markers are assigned to each occurrence of the same object class, even if multiple instances exist. With the development of computer systems, segmentation studies have increased very rapidly. One of the state-of-the-art algorithms recently published by Meta AI, which segments everything on a given image, is called the Segment Anything Model (SAM). Its impressive zero-shot performance encourages us to use it for diverse tasks. Therefore, we would like to leverage the SAM for an effective instance segmentation model. Accordingly, in this paper, we propose a hybrid instance segmentation method in which Object Detection algorithms extract bounding boxes of detected objects and load SAM to produce segmentation, called Box Prompted SAM (BP-SAM). Experimental evaluation of the COCO2017 Validation dataset provided us with promising performance.
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| 3. |
- Alawadi, Sadi, et al.
(författare)
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A Federated Interactive Learning IoT-Based Health Monitoring Platform
- 2021
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Ingår i: New Trends in Database and Information Systems. - Cham : Springer. ; , s. 235-246, s. 235-246
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Konferensbidrag (refereegranskat)abstract
- Remote health monitoring is a trend for better health management which necessitates the need for secure monitoring and privacy-preservation of patient data. Moreover, accurate and continuous monitoring of personal health status may require expert validation in an active learning strategy. As a result, this paper proposes a Federated Interactive Learning IoT-based Health Monitoring Platform (FIL-IoT-HMP) which incorporates multi-expert feedback as ‘Human-in-the-loop’ in an active learning strategy in order to improve the clients’ Machine Learning (ML) models. The authors have proposed an architecture and conducted an experiment as a proof of concept. Federated learning approach has been preferred in this context given that it strengthens privacy by allowing the global model to be trained while sensitive data is retained at the local edge nodes. Also, each model’s accuracy is improved while privacy and security of data has been upheld.
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| 4. |
- Bakhtyar, Shoaib, et al.
(författare)
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A synergy based method for designing ITS services
- 2013
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Ingår i: international Journal of Advanced Logistics. - : Taylor & Francis. - 2287-7592 .- 2287-108X. ; 2:2, s. 45-54
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, we propose a method for supporting the process of designing Intelligent Transportation System (ITS) services, which utilizes on primarily functional synergies with already existing services. Using synergies between services will enable sharing of resources, such as, information entities, functions and technical resources, which in turn may lead to reduced costs for implementing services. The method is built around an existing service description framework, which is used to describe both existing services and the service to be designed. In order to illustrate the usage of the suggested method, we have applied it for designing a new ITS service, i.e., the Liability Intelligent Transport System (LITS) service. The purpose of the LITS service is to support the process of identifying when, where and why freight has been damaged, and which actor was responsible when the freight was damaged. The LITS service may lead to better quality control of consignments and may also facilitate the identification of which actor was responsible for the freight damage, which is of particular interest in multi-modal transport. By applying our service design method we were able to identify that three out of four functions of the LITS service already exist in other existing ITS services. Therefore, the LITS service can be designed based on synergies with these services.
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| 5. |
- Bakhtyar, Shoaib, et al.
(författare)
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Achieving services when turning a waybill into an e-waybill
- 2011
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Konferensbidrag (refereegranskat)abstract
- The focus of this paper is to present potential electronic waybill (e-waybill) solutions for a traditional waybill with the potential for supporting different Intelligent Transport System (ITS) services, such as, identification of freight, automating the exchange of content-related data for regulatory or commercial purposes, etc. At present there are some initiatives, for instance, by the International Air Transport Association (IATA) and the e-Freight framework, for achieving solutions that can handle e-waybills. Both these solutions focus on actor-to-actor communication, however we hypothesize that the storage of a waybill’s data both locally and centrally (i.e. actor-to-actor as well as goods-to-actor communication) can support more services than only central storage of the waybill’s data. Further we look at the information required and possible communication links between different actors in order to identify different ITS services that can be achieved through an e-waybill solution. We then map this information on to the e-waybill solutions that we have proposed, which will allow us to identify which services are supported by the different e-waybill solutions.
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| 6. |
- Bakhtyar, Shoaib, et al.
(författare)
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Analysis of information synergy between e-Waybill solutions and intelligent transport system services
- 2013
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Ingår i: World Review of Intermodal Transportation Research (WRITR). - : InderScience Publishers. - 1749-4729 .- 1749-4737. ; 4:2/3, s. 123-139
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Tidskriftsartikel (refereegranskat)abstract
- We present a study on information synergy between an electronic waybill (e-Waybill) and intelligent transportation system (ITS) services. A waybill is an important transport document, and it contains essential information about a consignment. We consider five e-Waybill solutions, which differ in where the e-Waybill information is stored, read, and written. We analyse 20 ITS services, and for each of them, the required input entities that can be provided by an e-Waybill are identified, and the synergy with each of the e-Waybill solutions is determined based on the location of the e-Waybill information. The analysis shows that e-Waybill solutions with storage at the freight-level enable the highest information synergy with ITS services. Our result may support the implementation of practical e-Waybill systems that provide high synergy with ITS services, which may lead to higher utilisation of ITS services and more sustainable transport, e.g., in terms of reduced congestion and emissions
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| 7. |
- Bakhtyar, Shoaib, et al.
(författare)
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Technical requirements of the e-waybill service
- 2016
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Ingår i: International Journal of Computer and Communication Engineering. - San Bernardino, CA : International Academy Publishing. - 2010-3743. ; 5:2, s. 130-140
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Tidskriftsartikel (refereegranskat)abstract
- An electronic waybill (e-Waybill) is a service whose purpose is to replace the paper waybill, which is a paper documents that traditionally follows a consignment during transport. An important purpose of the e-Waybill is to achieve a paperless flow of information during freight transport. In this paper, we investigate five e-Waybill solutions, that is, system design specifications for the e-Waybill, regarding their non-functional (technical) requirements. In addition, we discuss how well existing technologies are able to fulfil the identified requirements. We have identified that information storage, synchronization and conflict management, access control, and communication are important categories of technical requirements of the e-Waybill service. We argue that the identified technical requirements can be used to support the process of designing and implementing the e-Waybill service.
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| 8. |
- Brunkwall, Louise, et al.
(författare)
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The Malmö Offspring Study (MOS) : design, methods and first results.
- 2021
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Ingår i: European Journal of Epidemiology. - : Springer Nature. - 0393-2990 .- 1573-7284. ; 36, s. 103-116
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Tidskriftsartikel (refereegranskat)abstract
- As cardio metabolic disease manifestations tend to cluster in families there is a need to better understand the underlying mechanisms in order to further develop preventive strategies. In fact, genetic markers used in genetic risk scores, important as they are, will not be able alone to explain these family clusters. Therefore, the search goes on for the so called missing heritability to better explain these associations. Shared lifestyle and social conditions in families, but also early life influences may be of importance. Gene-environmental interactions should be explored. In recent years interest has grown for the role of diet-microbiota associations, as microbiota patterns may be shared by family members. In the Malmö Offspring Study that started in 2013, we have so far been able to examine about 4700 subjects (18-71 years) representing children and grandchildren of index subjects from the first generation, examined in the Malmö Diet Cancer Study during 1991 to 1996. This will provide rich data and opportunities to analyse family traits of chronic disease across three generations. We will provide extensive genotyping and phenotyping including cardiovascular and respiratory function, as well as markers of glucose metabolism. In addition, also cognitive function will be assessed. A 4-day online dietary recall will be conducted and gut as well as oral microbiota analysed. The ambition is to provide one of the first large-scale European family studies with individual data across three generations, which could deepen our knowledge about the role of family traits for chronic disease and its underlying mechanisms.
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| 9. |
- Bugeja, Joseph, et al.
(författare)
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A Data-Centric Anomaly-Based Detection System for Interactive Machine Learning Setups
- 2022
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Ingår i: Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST. - : SciTePress. - 9789897586132 ; , s. 182-189
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Konferensbidrag (refereegranskat)abstract
- A major concern in the use of Internet of Things (IoT) technologies in general is their reliability in the presence of security threats and cyberattacks. Particularly, there is a growing recognition that IoT environments featuring virtual sensing and interactive machine learning may be subject to additional vulnerabilities when compared to traditional networks and classical batch learning settings. Partly, this is as adversaries could more easily manipulate the user feedback channel with malicious content. To this end, we propose a data-centric anomaly-based detection system, based on machine learning, that facilitates the process of identifying anomalies, particularly those related to poisoning integrity attacks targeting the user feedback channel of interactive machine learning setups. We demonstrate the capabilities of the proposed system in a case study involving a smart campus setup consisting of different smart devices, namely, a smart camera, a climate sensmitter, smart lighting, a smart phone, and a user feedback channel over which users could furnish labels to improve detection of correct system states, namely, activity types happening inside a room. Our results indicate that anomalies targeting the user feedback channel can be accurately detected at 98% using the Random Forest classifier.
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| 10. |
- Bugeja, Joseph
(författare)
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Smart connected homes : concepts, risks, and challenges
- 2018
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The growth and presence of heterogeneous connected devices inside the home have the potential to provide increased efficiency and quality of life to the residents. Simultaneously, these devices tend to be Internet-connected and continuously monitor, collect, and transmit data about the residents and their daily lifestyle activities. Such data can be of a sensitive nature, such as camera feeds, voice commands, physiological data, and more. This data allows for the implementation of services, personalization support, and benefits offered by smart home technologies. Alas, there has been a rift of security and privacy attacks on connected home devices that compromise the security, safety, and privacy of the occupants. In this thesis, we provide a comprehensive description of the smart connected home ecosystem in terms of its assets, architecture, functionality, and capabilities. Especially, we focus on the data being collected by smart home devices. Such description and organization are necessary as a precursor to perform a rigorous security and privacy analysis of the smart home. Additionally, we seek to identify threat agents, risks, challenges, and propose some mitigation approaches suitable for home environments. Identifying these is core to characterize what is at stake, and to gain insights into what is required to build more robust, resilient, secure, and privacy-preserving smart home systems. Overall, we propose new concepts, models, and methods serving as a foundation for conducting deeper research work in particular linked to smart connected homes. In particular, we propose a taxonomy of devices; classification of data collected by smart connected homes; threat agent model for the smart connected home; and identify challenges, risks, and propose some mitigation approaches.
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